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-# DenseNet-Keras
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+# DenseNet-Keras with ImageNet Pretrained Models
+
+## Introduction
+
+This is an [Keras](https://keras.io/) implementation of DenseNet with [ImageNet](http://www.image-net.org/) pretrained weights. The weights are converted from [Caffe Models](https://github.com/shicai/DenseNet-Caffe). The implementation supports both [Theano](http://deeplearning.net/software/theano/) and [TensorFlow](https://www.tensorflow.org/) backends.
+
+To know more about how DenseNet works, please refer to the [original paper](https://arxiv.org/abs/1608.06993)
+
+```
+Densely Connected Convolutional Networks
+Gao Huang, Zhuang Liu, Kilian Q. Weinberger, Laurens van der Maaten
+arXiv:1608.06993
+```
+
+## Pretrained DenseNet Models on ImageNet
+
+The top-1/5 accuracy rates by using single center crop (crop size: 224x224, image size: 256xN)
+
+Network|Top-1|Top-5|Theano|Tensorflow
+:---:|:---:|:---:|:---:|:---:
+DenseNet 121 (k=32)| 74.91| 92.19| [model (32  MB)](https://drive.google.com/open?id=0Byy2AcGyEVxfMlRYb3YzV210VzQ)| [model (32 MB)](https://drive.google.com/open?id=0Byy2AcGyEVxfSTA4SHJVOHNuTXc)
+DenseNet 169 (k=32)| 76.09| 93.14| [model (56  MB)](https://drive.google.com/open?id=0Byy2AcGyEVxfN0d3T1F1MXg0NlU)| [model (56 MB)](https://drive.google.com/open?id=0Byy2AcGyEVxfSEc5UC1ROUFJdmM)
+DenseNet 161 (k=48)| 77.64| 93.79| [model (112 MB)](https://drive.google.com/open?id=0Byy2AcGyEVxfVnlCMlBGTDR3RGs)| [model (112 MB)](https://drive.google.com/open?id=0Byy2AcGyEVxfUDZwVjU2cFNidTA)
+
+## Usage
+
+First, download the above pretrained weights to the `imagenet_models` folder.
+
+Run `test_inference.py` for an example of how to use the pretrained model to make inference.
+
+```
+python test_inference.py
+```
+
+## Fine-tuning
+
+Check [this](https://github.com/flyyufelix/cnn_finetune) out to see example of fine-tuning DenseNet with your own dataset.
+
+## Requirements
+
+* Keras 1.2.2
+* Theano 0.8.2 or TensorFlow 0.12.0
+
+